一种新的基于相似度方法的警报关联模型

2019 1st International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2019-08-01 DOI:10.1109/ICORIS.2019.8874899

Dandy Pramana Hostiadi, Made Darma Susila, Roy Rudolf Huizen

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引用次数: 5

摘要

告警是由入侵检测系统(IDS)产生的信息。警报关联是在不忽略检测信息的情况下，定义高相关性警报并在高级分析中分析警报的方法。在以往的研究中，预警关联模型是利用预定义的知识建立的。本文在不使用预定义知识和前提条件的情况下，通过分析警流交通的特征，提出了一种新的警流关联模型，采用相似度方法定义警流之间的关联。在我们的模型中，我们引入了两个步骤来分析警报流的特征，即低级警报分析和高级警报分析。结果表明，我们的模型可以从提取警报流流量的153个成对警报中定义出84%或129个相关警报。

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A New Alert Correlation Model Based On Similarity Approach

Alerts are information generated by the Intrusion Detection System (IDS). Alert Correlation is a method to defining a high related alert and analyze alert in the high-level analysis without ignoring the information of detection. In previous research, alert correlation model was developed using pre-defined knowledge. In this research, we proposed a new model of alert correlation using similarity approach to define the correlation between alert by analyzing the feature in alert flows traffic without using pre-defined knowledge and precondition. In our model, we introduce two-step in analyzing the feature of alert flows called Low-level Alert Analysis and High-Level Alert Analysis. The result showed that our model could define 84% or 129 correlated alert pairwise from 153 alert pairwise that extracted alert flows traffic.

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来源期刊

2019 1st International Conference on Cybernetics and Intelligent System (ICORIS)

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